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Quick Facts

Total Fees
3.22 L
Exam
GATE
Seats
29

Fees Details

General

3.22 L

SC

1.82 L

ST

1.82 L

OBC

3.22 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

24 Months

Master of Technology (M.Tech) in Signal Processing and Machine Learning is a two-year (4 Semesters) full-time postgraduate program under the Department of Chemical Engineering offered at the National Institute of Technology Karnataka Surathkal.


Important dates

Exams and EventsDates
GATE
Score Card Date (Mode - Online)
27 Mar'25 - 30 May'25
GATE
Score Card Date - Availability of Score Cards for download by paying a fee of Rs. 500 per test paper (Mode - Online)
31 May'25 - 30 Dec'25

Eligibility Criteria

  • B.E./B.Tech/B.Sc (Engg) in Electrical & Electronics, Electrical Engineering, Electronics, Electronics & Communication, Electronics & Instrumentation, Electronics & Telecommunication, Electronics & Control Engineering, Instrumentation, Instrumentation Engineering, Instrumentation Technology.
  • Grade IETE
  • AMIE.

Admission Details

Admission based on GATE, Qualifying test and Interview.

Student Reviews for M.Tech Signal Processing and Machine Learning

College Infrastructure: 4/5
Academics: 5/5
Placements: 4/5
Value for Money: 5/5
Campus Life: 4/5

Experience at nit was good

Verified Review

College Infrastructure

There are lawns ,botanical garden for botany students and for people who love nature..our all classrooms are air conditioned, and has smart board facilities.College is big enough for program events all is good. It has big cricket ground

Applications for Admissions are open.

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News and Notifications
April 29, 2025 - 11:15 AM IST :

The JEE Main 2025 counselling session is expected to begin in June 2025. 

April 29, 2025 - 11:14 AM IST :

NIT Karnataka is conducting five day national symposium, AFMECA 2025, from May 7 to May 11, 2025. 

April 29, 2025 - 11:08 AM IST :

NIT Karnataka is conducting 5-day workshop on Cybersecurity and Quantum Cryptography from Jun 23 to 27, 2025. 

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